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触发条件:大数据。

Trigger Criteria: Big Data.

机构信息

Department of Internal Medicine, Columbia College of Physicians and Surgeons, Harlem Hospital Center, 506 Lenox Avenue, Room 6110, Mural Pavillion, New York, NY 10037, USA.

Critical Care, Harlem Hospital Center, 506 Lenox Avenue, Room 6110, Mural Pavillion, New York, NY 10037, USA.

出版信息

Crit Care Clin. 2018 Apr;34(2):199-207. doi: 10.1016/j.ccc.2017.12.007. Epub 2018 Feb 1.

DOI:10.1016/j.ccc.2017.12.007
PMID:29482900
Abstract

Electronic medical records can be used to mine clinical data (big data), providing automated analysis during patient care. This article describes the source and potential impact of big data analysis on risk stratification and early detection of deterioration. It compares use of big data analysis with existing methods of identifying at-risk patients who require rapid response. Aggregate weighted scoring systems combined with big data analysis offer an opportunity to detect clinical changes that precede rapid response team activation. Future studies must determine if this will decrease transfers to intensive care units and cardiac arrests on the floors.

摘要

电子病历可用于挖掘临床数据(大数据),为患者护理期间提供自动化分析。本文描述了大数据分析的来源和对风险分层及病情恶化早期检测的潜在影响。它比较了大数据分析与现有识别需要快速反应高危患者的方法。综合加权评分系统结合大数据分析提供了一个机会,可检测出先于快速反应团队激活的临床变化。未来的研究必须确定这是否会减少 ICU 转科和病房心搏骤停的发生。

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引用本文的文献

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Effect of an Electronic Medical Record-Based Screening System on a Rapid Response System: 8-Years' Experience of a Single Center Cohort.基于电子病历的筛查系统对快速反应系统的影响:单中心队列8年经验
J Clin Med. 2020 Feb 1;9(2):383. doi: 10.3390/jcm9020383.